Gaming-Market-Insights-And-Comparative-Analysis

This project explores the global video game market using a real-world dataset. It focuses on analyzing sales patterns, platform trends, and genre popularity across regions such as North America, Europe, Japan, and other global markets. The goal is to provide insights that could inform strategic decisions for game developers, publishers, and marketers in the gaming industry.

Key Objectives

• Clean and preprocess a real-world gaming dataset.
• Create new features like Total Sales.
• Explore regional sales performance by platform and genre.
• Identify top-performing games and analyze trends.
• Visualize sales data using static and interactive plots.

Tools and Technologies

• Python
• Pandas, NumPy
• Matplotlib, Seaborn
• Plotly Express

📈 Key Insights

• Certain platforms dominate specific regions (e.g., strong NA presence for Xbox, PS dominance in Europe).
• Action and Sports games lead in global popularity, while regional preferences vary significantly.
• Total global sales are largely driven by a small set of games, showing a Pareto distribution effect.

📁 Dataset Source

The dataset used is a cleaned version of the popular Video Game Sales dataset

📎 How to Run

1. Clone the repository
2. Open the gaming_market_analysis.ipynb notebook
3. Ensure you have the required libraries installed
4. Run all cells to view analysis and plots